“Google Kubernetes Engine has a lot of features that makes handling Kubernetes instances very easy for us. Using preemptible nodes, for example, means that we can reduce our infrastructure spend dramatically when we’re setting up short-lived environments for testing.”
"We have a lot of opportunities to drive adoption of education technology, and we are excited to work with Google Cloud to do just that."
“A major benefit of deploying microservices to Google Cloud is segmentation. Our developers can now build loosely-coupled microservices with Kubernetes that reduce dependency conflicts and speed up time to market.”
“We aim for our landing pages to be the most relevant for our customers when it comes not only to purchasing great products, but also to the browsing, entertainment, and social experiences they offer. Our goal is to fulfill our customers’ individual needs and intents.”
“After implementing Recommendations AI, we’ve been able to give our customers a much more personalized experience, with product recommendations that better suit their interests.”
"With Google Cloud, we're realizing our ambitions to grow our range of services and position ourselves to expand into the United States, Europe and Asia-Pacific markets with tightly managed investment in technology resources and a focus on business planning rather than infrastructure administration."
“A digital tracking system was the ‘Holy Grail’ that we needed to find. We wanted to create a solution to register and follow every piece of fruit coming our way, adding up to millions. And we had to put all this data into the cloud. That’s where Google came in.”
“Essentially, once we have the data on the supply chain, then we're going to be able to use TensorFlow’s immense power to push those insights out.”
“More than 24 virtual machines, 240 virtual cores, and 1.5 terabytes were scaled, provisioned, and fully managed. Thanks to the ease of working with Google Cloud, we estimate that we were able to accelerate the delivery of the project by 20%.”
"All the streamlined processes we’ve put in place empower our teams so that we can now take on bigger projects and help more organizations drive real business transformation by solving their most complex problems with Google Workspace."
"This organization now generates its quarterly and year-end P&L reports 67 percent faster. And when employees skip a field or add incorrect information, the app immediately triggers an alert."
“When we acquired PayBox, our goal was to improve the security and the user experience, but we also wanted to keep the startup’s agility and innovation. Staying with Google Cloud has been an easy decision.”
“We use BigQuery to monitor all our operations. That means handling large volumes of data, as each transaction generates hundreds of log lines. We’ve been amazed at how fast BigQuery can generate reports: it’s a truly great product.”
"Google Cloud gives us the infrastructure, agility, and workload support to scale our VMs as needed. With Google Cloud, we can move easily from being in just one region to several—all now offering greater reliability in our test systems. Google Cloud meets us wherever we need to be."
"We wanted to use deep learning techniques to make our robots more intelligent and autonomous. But training these models requires an extreme amount of compute power for training and running simulations. That's where Google Cloud comes into play."
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